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Time-dependent diffusion in undulating thin fibers: Impact on axon diameter estimation

机译:起伏细纤维中的时间依赖性扩散:对轴突直径估计的影响

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Diffusion MRI may enable non-invasive mapping of axonal microstructure. Most approaches infer axon diameters from effects of time-dependent diffusion on the diffusion-weighted MR signal by modeling axons as straight cylinders. Axons do not, however, propagate in straight trajectories, and so far the impact of the axonal trajectory on diameter estimation has been insufficiently investigated. Here, we employ a toy model of axons, which we refer to as the undulating thin fiber model, to analyze the impact of undulating trajectories on the time dependence of diffusion. We study time-dependent diffusion in the frequency domain and characterize the diffusion spectrum by its height, width, and low-frequency behavior (power law exponent). Results show that microscopic orientation dispersion of the thin fibers is the main parameter that determines the characteristics of the diffusion spectra. At lower frequencies (longer diffusion times), straight cylinders and undulating thin fibers can have virtually identical spectra. If the straight-cylinder assumption is used to interpret data from undulating thin axons, the diameter is overestimated by an amount proportional to the undulation amplitude and microscopic orientation dispersion of the fibers. At higher frequencies (shorter diffusion times), spectra from cylinders and undulating thin fibers differ. The low-frequency behavior of the spectra from the undulating thin fibers may also differ from that of cylinders, because the power law exponent of undulating fibers can reach values below 2 for experimentally relevant frequency ranges. In conclusion, we argue that the non-straight nature of axonal trajectories should not be overlooked when analyzing and interpreting diffusion MRI data.
机译:扩散MRI可以实现轴突微结构的非侵入性映射。大多数方法通过将轴突造型为直筒来推断轴突直径,从而通过时间依赖性MR信号对扩散加权MR信号的影响。然而,轴突不在直线轨迹中传播,到目前为止,轴突轨迹对直径估计的影响已经不足。在这里,我们采用了轴突的玩具模型,我们将其称为起伏的薄纤维模型,分析起伏轨迹对扩散时间依赖性的影响。我们在频域中研究时间依赖性扩散,并通过其高度,宽度和低频行为(Power Law指数)来表征扩散光谱。结果表明,薄纤维的微观取向分散是确定扩散光谱特性的主要参数。在较低频率(较长的扩散时间)下,直筒和起伏的薄纤维可以具有几乎相同的光谱。如果使用直筒假设来解释来自波状薄轴突的数据,则直径被与纤维的下降脉冲幅度和微观取向分散成比例的量高估。在较高频率(较短的扩散时间)下,来自汽缸和波状薄纤维的光谱不同。来自波状薄纤维的光谱的低频特性也可能与汽缸的低频特性不同,因为起伏纤维的功率律指数可以在实验相关频率范围内达到2以下的值。总之,我们认为在分析和解释扩散MRI数据时,不应忽视轴突轨迹的非直接性质。

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